Different Image Fusion Techniques and Parameters: A Review

Abstract-Today in this digital world Image Fusion is the emerging field in the area of Image Processing. Its main goal is to merge two or more images in such a way as to retain the most desirable characteristics of each in resultant image. By observing medical fusion image, doctors could easily confirm the position of illness. In this field of medicine to evaluate or to examine the inner body parts different radiometric scanning techniques can be used. Some most commonly used scanning techniques include Computerized Tomography(CT scan), Magnetic Resonance Imaging scan(MRI) and Position Emission Tomography(PET)but the images of various body parts taken by using these scanning techniques are having their own merits and demerits. The idea of combining images from different modalities become very important and medical image fusion has emerged as a new promising research field. This paper presents two approaches to image fusion, namely Spatial Fusion and Transform Fusion. This paper describes Techniques such as Principal Component Analysis which is spatial domain technique and Discrete Wavelet Transform, Stationary Wavelet Transform which are Transform domain techniques. This paper presents a review on some of the image fusion techniques. Comparison of all the techniques concludes the better approach for its future research